{"id":"https://openalex.org/W4285123008","doi":"https://doi.org/10.1109/access.2022.3185639","title":"A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports","display_name":"A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285123008","doi":"https://doi.org/10.1109/access.2022.3185639"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3185639","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3185639","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09804486.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09804486.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060038366","display_name":"Muhammad Sajid Riaz","orcid":"https://orcid.org/0000-0001-8827-0176"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Sajid Riaz","raw_affiliation_strings":["AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, OK, USA"],"raw_orcid":"https://orcid.org/0000-0001-8827-0176","affiliations":[{"raw_affiliation_string":"AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025615365","display_name":"Haneya Naeem Qureshi","orcid":"https://orcid.org/0000-0003-4327-0556"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haneya Naeem Qureshi","raw_affiliation_strings":["AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, OK, USA"],"raw_orcid":"https://orcid.org/0000-0003-4327-0556","affiliations":[{"raw_affiliation_string":"AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016323849","display_name":"Usama Masood","orcid":"https://orcid.org/0000-0001-6523-7285"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Usama Masood","raw_affiliation_strings":["AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, OK, USA"],"raw_orcid":"https://orcid.org/0000-0001-6523-7285","affiliations":[{"raw_affiliation_string":"AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057498986","display_name":"Ali Rizwan","orcid":"https://orcid.org/0000-0003-0543-6439"},"institutions":[{"id":"https://openalex.org/I4210092118","display_name":"Qatar Mobility Innovations Center","ror":"https://ror.org/00dgyys91","country_code":"QA","type":"facility","lineage":["https://openalex.org/I4210092118"]},{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Ali Rizwan","raw_affiliation_strings":["Qatar Mobility Innovations Center, Qatar University, Doha, Qatar","Qatar Mobility Innovations Centre, Qatar University, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0003-0543-6439","affiliations":[{"raw_affiliation_string":"Qatar Mobility Innovations Center, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I4210092118","https://openalex.org/I60342839"]},{"raw_affiliation_string":"Qatar Mobility Innovations Centre, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I4210092118","https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054434944","display_name":"Adnan Abu\u2010Dayya","orcid":"https://orcid.org/0000-0002-5163-9731"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Adnan Abu-Dayya","raw_affiliation_strings":["Department of Electrical Engineering, Qatar University, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0002-5163-9731","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101789165","display_name":"Ali Imran","orcid":"https://orcid.org/0000-0003-0564-6356"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Imran","raw_affiliation_strings":["AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, OK, USA"],"raw_orcid":"https://orcid.org/0000-0003-0564-6356","affiliations":[{"raw_affiliation_string":"AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7769,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68716535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"67140","last_page":"67151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9563999772071838,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7889643907546997},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6890240907669067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6866629123687744},{"id":"https://openalex.org/keywords/lernaean-hydra","display_name":"Lernaean Hydra","score":0.6018520593643188},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6010539531707764},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5728436708450317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5084149241447449},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.47476792335510254},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4740150570869446},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4393230676651001},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36775001883506775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889643907546997},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6890240907669067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6866629123687744},{"id":"https://openalex.org/C34781881","wikidata":"https://www.wikidata.org/wiki/Q170379","display_name":"Lernaean Hydra","level":2,"score":0.6018520593643188},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6010539531707764},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5728436708450317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5084149241447449},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.47476792335510254},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4740150570869446},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4393230676651001},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36775001883506775},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C74916050","wikidata":"https://www.wikidata.org/wiki/Q841090","display_name":"Classics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3185639","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3185639","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09804486.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/60224","is_oa":true,"landing_page_url":"http://hdl.handle.net/10576/60224","pdf_url":"http://qspace.qu.edu.qa/bitstream/10576/60224/1/A_Hybrid_Deep_Learning-Based_HYDRA_Framework_for_Multifault_Diagnosis_Using_Sparse_MDT_Reports.pdf","source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:f2c39581ab6e4e32ab9633faba726615","is_oa":false,"landing_page_url":"https://doaj.org/article/f2c39581ab6e4e32ab9633faba726615","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 67140-67151 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3185639","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3185639","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09804486.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1289939489","display_name":null,"funder_award_id":"1619346","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5895921954","display_name":null,"funder_award_id":"NPRP12-S 0311-190302","funder_id":"https://openalex.org/F4320332753","funder_display_name":"Qatar National Research Fund"},{"id":"https://openalex.org/G7120153124","display_name":null,"funder_award_id":"1730650","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321038","display_name":"Fonds National de la Recherche Luxembourg","ror":"https://ror.org/039z13y21"},{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285123008.pdf","grobid_xml":"https://content.openalex.org/works/W4285123008.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W141700540","https://openalex.org/W1532461462","https://openalex.org/W1921293667","https://openalex.org/W1966292371","https://openalex.org/W1992709958","https://openalex.org/W2012875423","https://openalex.org/W2014916644","https://openalex.org/W2046881505","https://openalex.org/W2059500615","https://openalex.org/W2098936723","https://openalex.org/W2114281298","https://openalex.org/W2120614617","https://openalex.org/W2122866312","https://openalex.org/W2160160578","https://openalex.org/W2160821994","https://openalex.org/W2165736859","https://openalex.org/W2168208712","https://openalex.org/W2245692383","https://openalex.org/W2295598076","https://openalex.org/W2296227759","https://openalex.org/W2336136854","https://openalex.org/W2475005672","https://openalex.org/W2601467043","https://openalex.org/W2602726343","https://openalex.org/W2618574054","https://openalex.org/W2739807482","https://openalex.org/W2797385508","https://openalex.org/W2916468654","https://openalex.org/W2953699773","https://openalex.org/W2970361397","https://openalex.org/W2980666689","https://openalex.org/W2985264667","https://openalex.org/W2990322807","https://openalex.org/W3012224617","https://openalex.org/W3046626379","https://openalex.org/W3082233982","https://openalex.org/W3094779215","https://openalex.org/W3096242811","https://openalex.org/W3114401400","https://openalex.org/W3127635436","https://openalex.org/W3154050260","https://openalex.org/W3187204766","https://openalex.org/W6638667902","https://openalex.org/W6726030733","https://openalex.org/W6737985840"],"related_works":["https://openalex.org/W2128040437","https://openalex.org/W2008467200","https://openalex.org/W2381253015","https://openalex.org/W2093732113","https://openalex.org/W2141305934","https://openalex.org/W1859893720","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Diminishing":[0],"viability":[1],"of":[2,25,42,53,64,102,138],"manual":[3],"fault":[4,20,56,145],"diagnosis":[5,21,41,52,146],"in":[6,34,44,57,82,119],"the":[7,23,35,51,110,143],"increasingly":[8],"complex":[9],"emerging":[10],"cellular":[11],"network":[12],"has":[13],"motivated":[14],"research":[15],"towards":[16],"artificial":[17],"intelligence":[18],"(AI)-based":[19],"using":[22],"minimization":[24],"drive":[26],"test":[27],"(MDT)":[28],"reports.":[29],"However,":[30],"existing":[31],"AI":[32],"solutions":[33,73],"literature":[36],"remain":[37],"limited":[38],"to":[39,66,115,142,153],"either":[40],"faults":[43,118],"a":[45,54,58,87,100,120],"single":[46,55],"base":[47,122],"station":[48,123],"only":[49],"or":[50],"multiple":[59,117,121],"BS":[60],"scenario.":[61],"Moreover,":[62],"lack":[63],"robustness":[65],"MDT":[67,111,154],"reports":[68],"spatial":[69],"sparsity":[70],"renders":[71],"these":[72],"unsuitable":[74],"for":[75],"practical":[76],"deployment.":[77],"To":[78],"address":[79],"this":[80,83],"problem,":[81],"paper":[84],"we":[85],"present":[86],"novel":[88],"framework":[89],"named":[90],"Hybrid":[91],"Deep":[92],"Learning-based":[93],"Root":[94],"Cause":[95],"Analysis":[96],"(HYDRA)":[97],"that":[98,133],"uses":[99],"hybrid":[101],"convolutional":[103],"neural":[104],"networks,":[105],"extreme":[106,130],"gradient":[107],"boosting,":[108],"and":[109,129,140],"data":[112],"enrichment":[113],"techniques":[114],"diagnose":[116],"network.":[124],"Performance":[125],"evaluation":[126],"under":[127],"realistic":[128],"settings":[131],"shows":[132],"HYDRA":[134,148],"yields":[135],"an":[136],"accuracy":[137],"93%":[139],"compared":[141],"state-of-the-art":[144],"solutions,":[147],"is":[149],"far":[150],"more":[151],"robust":[152],"report":[155],"sparsity.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}